OpenCodePapers
unsupervised-semantic-segmentation-with-8
Semantic Segmentation
Unsupervised Semantic Segmentation
Unsupervised Semantic Segmentation with Language-image Pre-training
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Paper
Code
mIoU
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ModelName
ReleaseDate
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CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation
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50.8
CorrCLIP
2024-11-15
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
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46.1
TextRegion
2025-05-29
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
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44.3
Trident
2024-11-14
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
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39.6
ProxyCLIP
2024-08-09
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification
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37.6
TagAlign
2023-12-21
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
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37.4
TTD (TCL)
2024-03-30
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
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33.9
TCL
2022-12-01
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
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33.7
COSMOS ViT-B/16
2024-12-02
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
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31.0
TTD (MaskCLIP)
2024-03-30
Extract Free Dense Labels from CLIP
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26.4
MaskCLIP
2021-12-02
GroupViT: Semantic Segmentation Emerges from Text Supervision
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23.4
GroupViT (RedCaps)
2022-02-22
ReCo: Retrieve and Co-segment for Zero-shot Transfer
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22.3
ReCo
2022-06-14